mirror of https://github.com/grafana/grafana
elastic: add more backend tests (#59312)
* elastic: added backend snapshot tests * linter fixespull/59352/head
Gábor Farkas
3 years ago
committed by
GitHub
parent
a7b2943dd1
commit
f1dfaa784a
@ -0,0 +1,146 @@ |
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package elasticsearch |
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|
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import ( |
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"bytes" |
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"context" |
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"encoding/json" |
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"fmt" |
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"io" |
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"net/http" |
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"time" |
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"github.com/Masterminds/semver" |
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"github.com/grafana/grafana-plugin-sdk-go/backend" |
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es "github.com/grafana/grafana/pkg/tsdb/elasticsearch/client" |
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"github.com/grafana/grafana/pkg/tsdb/intervalv2" |
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) |
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type queryDataTestRoundTripper struct { |
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requestCallback func(req *http.Request) error |
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body []byte |
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} |
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// we fake the http-request-call. we return a fixed byte-array (defined by the test snapshot),
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// and we also check if the http-request-object has the correct data
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func (rt *queryDataTestRoundTripper) RoundTrip(req *http.Request) (*http.Response, error) { |
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err := rt.requestCallback(req) |
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if err != nil { |
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return nil, err |
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} |
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return &http.Response{ |
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StatusCode: http.StatusOK, |
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Header: http.Header{}, |
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Body: io.NopCloser(bytes.NewReader(rt.body)), |
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}, nil |
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} |
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// we setup a fake datasource-info
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func newFlowTestDsInfo(body []byte, reuestCallback func(req *http.Request) error) *es.DatasourceInfo { |
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client := http.Client{ |
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Transport: &queryDataTestRoundTripper{body: body, requestCallback: reuestCallback}, |
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} |
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return &es.DatasourceInfo{ |
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ESVersion: semver.MustParse("8.5.0"), |
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Interval: "Daily", |
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Database: "[testdb-]YYYY.MM.DD", |
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TimeField: "testtime", |
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TimeInterval: "1s", |
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URL: "http://localhost:9200", |
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HTTPClient: &client, |
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MaxConcurrentShardRequests: 42, |
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IncludeFrozen: false, |
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XPack: true, |
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} |
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} |
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type queryDataTestQueryJSON struct { |
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IntervalMs int64 |
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MaxDataPoints int64 |
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RefID string |
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} |
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// we take an array of json-bytes, that define the elastic queries,
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// and create full backend.DataQuery objects from them
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func newFlowTestQueries(allJsonBytes []byte) ([]backend.DataQuery, error) { |
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timeRange := backend.TimeRange{ |
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From: time.UnixMilli(1668422437218), |
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To: time.UnixMilli(1668422625668), |
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} |
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// we will need every separate query-item as a json-byte-array later,
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// so we only decode the "array", and keep the "items" undecoded.
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var jsonBytesArray []json.RawMessage |
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err := json.Unmarshal(allJsonBytes, &jsonBytesArray) |
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if err != nil { |
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return nil, fmt.Errorf("error unmarshaling query-json: %w", err) |
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} |
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var queries []backend.DataQuery |
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for _, jsonBytes := range jsonBytesArray { |
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// we need to extract some fields from the json-array
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var jsonInfo queryDataTestQueryJSON |
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err = json.Unmarshal(jsonBytes, &jsonInfo) |
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if err != nil { |
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return nil, err |
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} |
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// we setup the DataQuery, with values loaded from the json
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query := backend.DataQuery{ |
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RefID: jsonInfo.RefID, |
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MaxDataPoints: jsonInfo.MaxDataPoints, |
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Interval: time.Duration(jsonInfo.IntervalMs) * time.Millisecond, |
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TimeRange: timeRange, |
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JSON: jsonBytes, |
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} |
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queries = append(queries, query) |
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} |
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return queries, nil |
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} |
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type queryDataTestResult struct { |
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response *backend.QueryDataResponse |
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requestBytes []byte |
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} |
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func queryDataTest(queriesBytes []byte, responseBytes []byte) (queryDataTestResult, error) { |
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queries, err := newFlowTestQueries(queriesBytes) |
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if err != nil { |
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return queryDataTestResult{}, err |
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} |
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requestBytesStored := false |
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var requestBytes []byte |
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dsInfo := newFlowTestDsInfo(responseBytes, func(req *http.Request) error { |
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requestBytes, err = io.ReadAll(req.Body) |
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bodyCloseError := req.Body.Close() |
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if err != nil { |
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return err |
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} |
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if bodyCloseError != nil { |
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return bodyCloseError |
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} |
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requestBytesStored = true |
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return nil |
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}) |
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result, err := queryData(context.Background(), queries, dsInfo, intervalv2.NewCalculator()) |
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if err != nil { |
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return queryDataTestResult{}, err |
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} |
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if !requestBytesStored { |
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return queryDataTestResult{}, fmt.Errorf("request-bytes not stored") |
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} |
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return queryDataTestResult{ |
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response: result, |
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requestBytes: requestBytes, |
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}, nil |
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} |
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@ -0,0 +1,167 @@ |
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package elasticsearch |
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import ( |
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"fmt" |
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"os" |
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"path/filepath" |
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"regexp" |
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"strings" |
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"testing" |
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"github.com/grafana/grafana-plugin-sdk-go/experimental" |
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"github.com/stretchr/testify/require" |
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) |
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// these snapshot-tests test the whole request-response flow:
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// the inputs:
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// - the backend.DataQuery query
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// - the elastic-response json
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// the snapshot verifies:
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// - the elastic-request json
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// - the dataframe result
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// a regex that matches the request-snapshot-filenames, and extracts the name of the test
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var requestRe = regexp.MustCompile(`^(.*)\.request\.line\d+\.json$`) |
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// the "elastic request" is often in multiple json-snapshot-files,
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// so we have to find them on disk, so we have to look at every file in
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// the folder.
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func findRequestSnapshots(t *testing.T, folder string) map[string][]string { |
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allTestSnapshotFiles, err := os.ReadDir(folder) |
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require.NoError(t, err) |
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snapshots := make(map[string][]string) |
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for _, file := range allTestSnapshotFiles { |
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fileName := file.Name() |
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match := requestRe.FindStringSubmatch(fileName) |
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if len(match) == 2 { |
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testName := match[1] |
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files := append(snapshots[testName], filepath.Join(folder, fileName)) |
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snapshots[testName] = files |
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} |
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} |
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return snapshots |
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} |
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// a regex that matches the response-snapshot-filenames, and extracts the name of the test
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var responseRe = regexp.MustCompile(`^([^\.]+)\.[^\.]+.golden.jsonc$`) |
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func findResponseSnapshotCounts(t *testing.T, folder string) map[string]int { |
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allTestSnapshotFiles, err := os.ReadDir(folder) |
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require.NoError(t, err) |
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snapshots := make(map[string]int) |
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for _, file := range allTestSnapshotFiles { |
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fileName := file.Name() |
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match := responseRe.FindStringSubmatch(fileName) |
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if len(match) == 2 { |
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testName := match[1] |
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snapshots[testName] = snapshots[testName] + 1 |
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} |
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} |
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return snapshots |
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} |
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func TestRequestSnapshots(t *testing.T) { |
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tt := []struct { |
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name string |
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path string |
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}{ |
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{name: "simple metric test", path: "metric_simple"}, |
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{name: "complex metric test", path: "metric_complex"}, |
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{name: "multi metric test", path: "metric_multi"}, |
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} |
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queryHeader := []byte(` |
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{ |
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"ignore_unavailable": true, |
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"index": "testdb-2022.11.14", |
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"search_type": "query_then_fetch" |
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} |
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`) |
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requestSnapshots := findRequestSnapshots(t, "testdata_request") |
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for _, test := range tt { |
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t.Run(test.name, func(t *testing.T) { |
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responseBytes := []byte(`{"responses":[]}`) |
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queriesFileName := filepath.Join("testdata_request", test.path+".queries.json") |
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queriesBytes, err := os.ReadFile(filepath.Clean(queriesFileName)) |
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require.NoError(t, err) |
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var requestLines [][]byte |
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for _, fileName := range requestSnapshots[test.path] { |
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bytes, err := os.ReadFile(filepath.Clean(fileName)) |
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require.NoError(t, err) |
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requestLines = append(requestLines, bytes) |
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} |
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require.True(t, len(requestLines) > 0, "requestLines must not be empty") |
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result, err := queryDataTest(queriesBytes, responseBytes) |
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require.NoError(t, err) |
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reqLines := strings.Split(strings.TrimSpace(string(result.requestBytes)), "\n") |
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require.Len(t, reqLines, len(requestLines)*2) |
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for i, expectedRequestLine := range requestLines { |
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actualRequestHeaderLine := reqLines[2*i] |
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actualRequestLine := reqLines[2*i+1] |
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require.JSONEq(t, string(queryHeader), actualRequestHeaderLine, fmt.Sprintf("invalid request-header at index: %v", i)) |
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require.JSONEq(t, string(expectedRequestLine), actualRequestLine, fmt.Sprintf("invalid request at index: %v", i)) |
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} |
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}) |
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} |
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} |
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func TestResponseSnapshots(t *testing.T) { |
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tt := []struct { |
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name string |
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path string |
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}{ |
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{name: "simple metric test", path: "metric_simple"}, |
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{name: "complex metric test", path: "metric_complex"}, |
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{name: "multi metric test", path: "metric_multi"}, |
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} |
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snapshotCount := findResponseSnapshotCounts(t, "testdata_response") |
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for _, test := range tt { |
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t.Run(test.name, func(t *testing.T) { |
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responseFileName := filepath.Join("testdata_response", test.path+".response.json") |
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responseBytes, err := os.ReadFile(filepath.Clean(responseFileName)) |
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require.NoError(t, err) |
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queriesFileName := filepath.Join("testdata_response", test.path+".queries.json") |
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queriesBytes, err := os.ReadFile(filepath.Clean(queriesFileName)) |
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require.NoError(t, err) |
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result, err := queryDataTest(queriesBytes, responseBytes) |
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require.NoError(t, err) |
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// first we need to test that the number of items in `result.response.Responses`,
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// is exactly the same as the count of our response snapshot files
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// (this is so that we avoid situations where we provide more snapshot-files than
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// what is returned)
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expectedResponseCount := snapshotCount[test.path] |
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require.True(t, expectedResponseCount > 0, "response snapshots not found") |
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require.Len(t, result.response.Responses, expectedResponseCount) |
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for refId, dataRes := range result.response.Responses { |
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goldenFileName := fmt.Sprintf("%v.%v.golden", test.path, refId) |
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// we make a copy of the variable to avoid this linter-warning:
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// "G601: Implicit memory aliasing in for loop."
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dataResCopy := dataRes |
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experimental.CheckGoldenJSONResponse(t, "testdata_response", goldenFileName, &dataResCopy, false) |
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} |
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}) |
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} |
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} |
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@ -0,0 +1,52 @@ |
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[ |
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{ |
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"alias": "", |
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"bucketAggs": [ |
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{ |
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"field": "label", |
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"id": "4", |
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"settings": { |
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"min_doc_count": "1", |
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"order": "desc", |
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"orderBy": "_term", |
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"size": "10" |
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}, |
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"type": "terms" |
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}, |
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{ |
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"field": "testtime", |
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"id": "2", |
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"settings": { |
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"interval": "1m", |
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"min_doc_count": "0", |
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"timeZone": "utc", |
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"trimEdges": "0" |
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}, |
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"type": "date_histogram" |
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} |
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], |
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"datasource": { |
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"uid": "haha", |
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"type": "elasticsearch" |
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}, |
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"datasourceId": 42, |
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"hide": true, |
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"metrics": [ |
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{ |
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"field": "float", |
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"id": "1", |
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"type": "max" |
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}, |
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{ |
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"field": "float", |
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"id": "3", |
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"type": "min" |
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} |
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], |
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"query": "", |
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"refId": "a", |
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"timeField": "testtime", |
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"intervalMs": 200, |
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"maxDataPoints": 779 |
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} |
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] |
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@ -0,0 +1,53 @@ |
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{ |
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"aggs": { |
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"4": { |
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"aggs": { |
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"2": { |
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"aggs": { |
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"1": { |
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"max": { |
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"field": "float" |
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} |
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}, |
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"3": { |
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"min": { |
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"field": "float" |
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} |
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} |
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}, |
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"date_histogram": { |
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"extended_bounds": { |
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"max": 1668422625668, |
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"min": 1668422437218 |
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}, |
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"field": "testtime", |
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"fixed_interval": "1m", |
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"format": "epoch_millis", |
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"min_doc_count": 0 |
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} |
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} |
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}, |
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"terms": { |
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"field": "label", |
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"order": { |
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"_key": "desc" |
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}, |
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"size": 10 |
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} |
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} |
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}, |
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"query": { |
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"bool": { |
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"filter": { |
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"range": { |
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"testtime": { |
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"format": "epoch_millis", |
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"gte": 1668422437218, |
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"lte": 1668422625668 |
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} |
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} |
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} |
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} |
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}, |
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"size": 0 |
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} |
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@ -0,0 +1,41 @@ |
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[ |
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{ |
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"refId": "a", |
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"datasource": { "uid": "haha", "type": "elasticsearch" }, |
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"datasourceId": 42, |
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"query": "", |
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"alias": "", |
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"metrics": [{ "id": "1", "type": "max", "field": "float" }], |
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"bucketAggs": [ |
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{ |
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"type": "date_histogram", |
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"id": "2", |
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"settings": { "interval": "auto" }, |
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"field": "testtime" |
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} |
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], |
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"timeField": "testtime", |
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"intervalMs": 30000, |
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"maxDataPoints": 814 |
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}, |
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{ |
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"datasource": { "uid": "haha", "type": "elasticsearch" }, |
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"datasourceId": 42, |
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"refId": "b", |
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"hide": false, |
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"query": "", |
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"alias": "", |
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"metrics": [{ "id": "1", "type": "min", "field": "float" }], |
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"bucketAggs": [ |
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{ |
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"type": "date_histogram", |
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"id": "2", |
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"settings": { "interval": "auto" }, |
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"field": "testtime" |
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} |
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], |
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"timeField": "testtime", |
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"intervalMs": 30000, |
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"maxDataPoints": 814 |
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} |
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] |
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@ -0,0 +1,37 @@ |
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{ |
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"size": 0, |
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"query": { |
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"bool": { |
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"filter": { |
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"range": { |
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"testtime": { |
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"gte": 1668422437218, |
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"lte": 1668422625668, |
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"format": "epoch_millis" |
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} |
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} |
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} |
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} |
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}, |
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"aggs": { |
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"2": { |
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"date_histogram": { |
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"field": "testtime", |
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"min_doc_count": 0, |
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"extended_bounds": { |
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"min": 1668422437218, |
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"max": 1668422625668 |
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}, |
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"format": "epoch_millis", |
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"fixed_interval": "1000ms" |
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}, |
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"aggs": { |
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"1": { |
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"max": { |
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"field": "float" |
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} |
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} |
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} |
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} |
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} |
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} |
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@ -0,0 +1,37 @@ |
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{ |
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"size": 0, |
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"query": { |
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"bool": { |
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"filter": { |
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"range": { |
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"testtime": { |
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"gte": 1668422437218, |
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"lte": 1668422625668, |
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"format": "epoch_millis" |
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} |
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} |
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} |
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} |
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}, |
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"aggs": { |
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"2": { |
||||
"date_histogram": { |
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"field": "testtime", |
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"min_doc_count": 0, |
||||
"extended_bounds": { |
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"min": 1668422437218, |
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"max": 1668422625668 |
||||
}, |
||||
"format": "epoch_millis", |
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"fixed_interval": "1000ms" |
||||
}, |
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"aggs": { |
||||
"1": { |
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"min": { |
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"field": "float" |
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} |
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} |
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} |
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} |
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} |
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} |
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@ -0,0 +1,45 @@ |
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[ |
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{ |
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"alias": "", |
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"bucketAggs": [ |
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{ |
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"field": "label", |
||||
"id": "3", |
||||
"settings": { |
||||
"min_doc_count": "1", |
||||
"order": "desc", |
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"orderBy": "_term", |
||||
"size": "10" |
||||
}, |
||||
"type": "terms" |
||||
}, |
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{ |
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"field": "testtime", |
||||
"id": "2", |
||||
"settings": { |
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"interval": "1m" |
||||
}, |
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"type": "date_histogram" |
||||
} |
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], |
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"datasource": { |
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"type": "elasticsearch", |
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"uid": "haha" |
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}, |
||||
"datasourceId": 42, |
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"expression": "", |
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"hide": true, |
||||
"intervalMs": 200, |
||||
"maxDataPoints": 1248, |
||||
"metrics": [ |
||||
{ |
||||
"id": "1", |
||||
"type": "count" |
||||
} |
||||
], |
||||
"query": "", |
||||
"refId": "a", |
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"timeField": "testtime", |
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"window": "" |
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} |
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] |
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@ -0,0 +1,43 @@ |
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{ |
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"aggs": { |
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"3": { |
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"aggs": { |
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"2": { |
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"date_histogram": { |
||||
"extended_bounds": { |
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"max": 1668422625668, |
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"min": 1668422437218 |
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}, |
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"field": "testtime", |
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"fixed_interval": "1m", |
||||
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||||
Loading…
Reference in new issue